DevOps Engineer 4480
at Our Client company is into Telecommunications(SY1)
Docker
Kubernetes
Amazon Web Services (AWS)
Python- Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
- Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
- Docker and Kubernetes (EKS)
- Linux/UNIX Administration (Amazon Linux and RedHat).
- Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
- Configuration Management tools (Chef or Puppet or ansible).
- Log aggregations tools such as Elastic and/or Splunk.
- Automate infrastructure and application deployment-related tasks using terraform.
- Automate repetitive tasks required to maintain a secure and up-to-date operational environment.
Responsibilities
- Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
- Build AWS or other public cloud infrastructure using Terraform.
- Deploy and manage Kubernetes (EKS) based docker applications in AWS.
- Create custom OS images using Packer.
- Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
- Liaison between application development, infrastructure support, and tools (IT Services) teams.
- Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
- Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
- Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
- Learn on the job and explore new technologies with little supervision.
- Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.
Who we have in mind:
- Solid experience in building a solution on AWS or other public cloud services using Terraform.
- Excellent problem-solving skills with a desire to take on responsibility.
- Extensive knowledge in containerized application and deployment in Kubernetes
- Extensive knowledge of the Linux operating system, RHEL preferred.
- Proficiency with shell scripting.
- Experience with Java application servers.
- Experience with GiT and Subversion.
- Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
- Experience working in a large-scale operational environment.
- Internet and operating system security fundamentals.
- Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
- Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
- Experience with Configuration Management Automation tools (chef or puppet).
- Experience with virtualization, preferably on multiple hypervisors.
- BS/MS in Computer Science or equivalent experience.
- Excellent written and verbal skills.
Education or Equivalent Experience:
- Bachelor's degree or equivalent education in related fields
- Certificates of training in associated fields/equipment’s
Subodh Popalwar
Software Engineer, Memorres
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3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
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10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
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Pre-Employment Assessment:
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Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
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Anaxee Digital Runners is building India's largest last-mile Outreach & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach the remotest parts of India, on-demand.
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Important: Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8
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#Triage and troubleshoot issues on the AWS and GCP and participate in a rotating on-call schedule and address urgent issues quickly
#Develop and leverage expert-level knowledge of supported applications and platforms in support of project teams (architecture guidance, implementation support) or business units (analysis).
#Monitoring the process on production runs, communicating the information to the advisory team, and raising production support issues to the project team.
#Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
#Developing and implementing technical efforts to design, build, and deploy AWS and GCP applications at the direction of lead architects, including large-scale data processing and advanced analytics
#Participate in all aspects of the SDLC for AWS and GCP solutions, including planning, requirements, development, testing, and quality assurance
#Troubleshoot incidents, identify root cause, fix, and document problems, and implement preventive measures
#Educate teams on the implementation of new cloud-based initiatives, providing associated training as required
#Build and maintain operational tools for deployment, monitoring, and analysis of AWS and GCP infrastructure and systems; Design, deploy, maintain, automate & troubleshoot virtual servers and storage systems, firewalls, and Load Balancers in our hybrid cloud environment (AWS and GCP)
What makes a great DevOps Engineer (Cloud) for Anaxee:
#Candidate must have sound knowledge, and hands-on experience, in GCP (Google Cloud Platform) and AWS (Amazon Web Services)
#Good hands-on Linux Operating system OR any other similar distributions, viz. Ubuntu, CentOS, RHEL/RedHat, etc.
#1+ years of experience in the industry
#Bachelor's degree preferred with Science/Maths background (B.Sc/BCA/B.E./B.Tech)
#Enthusiasm to learn new software, take ownership and latent desire and curiosity in the related domain like Cloud, Hosting, Programming, Software development, security.
#Demonstrable skills troubleshooting a wide range of technical problems at application and system level, and have strong organizational skills with eye for detail.
#Prior knowledge of risk-chain is an added advantage
#AWS/GCP certifications is a plus
#Previous startup experience would be a huge plus.
The ideal candidate must be experienced in cloud-based tech, with a firm grasp on emerging technologies, platforms, and applications, and have the ability to customize them to help our business become more secure and efficient. From day one, you’ll have an immediate impact on the day-to-day efficiency of our IT operations, and an ongoing impact on our overall growth
What we offer
#Startup Flexibility
#Exciting challenges to learn grow and implement notions
#ESOPs (Employee Stock Ownership Plans)
#Great working atmosphere in a comfortable office,
#And an opportunity to get associated with a fast-growing VC-funded startup.
What happens after you apply?
You will receive an acknowledgment email with company details.
If gets shortlisted, our HR Team will get in touch with you (Call, Email, WhatsApp) in a couple of days
Rest all the information will be communicated to you then via our AMS.
Our expectations before/after you click “Apply Now”
Read about Anaxee: http://www.anaxee.com/
Watch this six mins pitch to get a better understanding of what we are into https://www.youtube.com/watch?v=7QnyJsKedz8
Let's dive into detail (Company Presentation): https://bit.ly/anaxee-deck-brands
Machine Learning (ML)KubernetesPythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Follow CutshortSubodh Popalwar
Software Engineer, Memorres